Remote NLP ML Engineer — Text Analytics & AI Pipelines

Placements24; Kempton Park; Remote; ZAR 900,000 - 1,300,000; Full time

Benefits offered by this job

Competitive salary and benefits

Fully remote position

Professional development budget (confr

Access to computing resources

Collaborative online environment

Job summary

Placements24 is seeking a talented Machine Learning Engineer with a strong NLP focus to join their team in Gauteng. This remote-first role involves building and deploying NLP models and data pipelines that power core products.

The ideal candidate will have experience with spaCy, Hugging Face, TensorFlow or PyTorch, Python, and cloud-based model training, along with strong collaboration in a distributed team. Ongoing professional development is supported.

Qualifications

• Bachelor's or Master's degree in Computer Science, Computational Linguistics, or related field.
• Experience building and deploying NLP models using spaCy, NLTK, Hugging Face Transformers, TensorFlow or PyTorch.
• Proficiency in Python and libraries (pandas, scikit-learn).
• Solid understanding of ML concepts and NLP techniques.
• Experience with cloud platforms (AWS, GCP, Azure) for training and deployment.
• Strong problem-solving and analytical skills.
• Excellent communication and teamwork, especially remotely.
• Experience with Docker is a plus.
• NLP project portfolio is highly desirable.

Responsibilities

• Develop and implement NLP models for text classification, sentiment analysis, named entity recognition, and QA.
• Build and maintain data pipelines for training and deploying NLP models.
• Collaborate with software engineers and data scientists to integrate NLP features.
• Conduct experiments to evaluate model performance and identify improvements.
• Stay current with NLP and ML research and techniques.
• Design and run A/B tests to measure NLP feature impact.
• Contribute to internal NLP tools and libraries.
• Ensure scalable and reliable NLP deployments.
• Document architectures, training procedures, and deployment strategies.

Skills

Python

NLP

Machine learning

Communication

Remote collaboration

Education

Bachelor's degree in Computer Science, Computational Linguistics, or related field

Master's degree in Computer Science, Computational Linguistics, or related field

Tools

spaCy

NLTK

Hugging Face Transformers

TensorFlow

PyTorch

Docker

Job description

Placements24 is seeking a talented Machine Learning Engineer with a strong NLP focus to join their team in Gauteng. This remote-first role involves building and deploying NLP models and data pipelines that power core products.

The ideal candidate will have experience with spaCy, Hugging Face, TensorFlow or PyTorch, Python, and cloud-based model training, along with strong collaboration in a distributed team. Ongoing professional development is supported.